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ORCIDDesign Automation for Embedded Systems, Volume 28
Volume 28, Number 1, March 2024
- Jamile de Barros Vasconcelos, George Lima, Marwan Wehaiba el Khazen, Adriana Gogonel, Liliana Cucu-Grosjean:
On vulnerabilities in EVT-based timing analysis: an experimental investigation on a multi-core architecture. 1-21 - Christian Eichler, Jonas Röckl, Benedikt Jung, Ralph Schlenk, Tilo Müller, Timo Hönig:
Profiling with trust: system monitoring from trusted execution environments. 23-44 - José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Antônio Augusto Fröhlich:
Transparent integration of autonomous vehicles simulation tools with a data-centric middleware. 45-66 - Samuel Amico Fidelis, Márcio Castro, Frank Siqueira:
Improving edge AI for industrial IoT applications with distributed learning using consensus. 67-89
Volume 28, Number 2, June 2024
- Mohammad Hassani Sadi
, Chirag Sudarshan, Norbert Wehn:
Novel adaptive quantization methodology for 8-bit floating-point DNN training. 91-110 - Daniel Reiser, Junchao Chen, Johannes Knödtel, Andrea Baroni, Milos Krstic, Marc Reichenbach:
Design and analysis of an adaptive radiation resilient RRAM subsystem for processing systems in satellites. 111-137 - Ahmad Reda, Afulay Ahmed Bouzid, Alhasan Zghaibe, Dániel Drótos, József Vásárhelyi:
Model predictive-based DNN control model for automated steering deployed on FPGA using an automatic IP generator tool. 139-153 - Pudi Dhilleswararao, Utsav Tiwari, Srinivas Boppu, Yu Yang, Ahmed Hemani:
Automating functional unit and register binding for synchoros CGRA platform. 155-186
Volume 28, Number 3, December 2024
- Willian Analdo Nunes, Rafael Schild Reusch, Lucas Luza, Eduardo Bernardon, Angelo Elias Dalzotto, Leonardo Rezende Juracy, Fernando Gehm Moraes:
Deploying human activity recognition in embedded RISC-V processors. 187-217 - Rafael Canal, João Paulo Araujo Bonomo, Rodrigo Santos de Carvalho, Giovani Gracioli:
Torque regression using machine learning techniques in automotive ECUs. 219-243 - Joonas Multanen, Barry de Bruin, Henk Corporaal, Pekka Jääskeläinen:
Energy-efficient instruction compression with programmable dictionaries. 245-274
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